Please use this identifier to cite or link to this item: doi:10.22028/D291-23401
Title: The IWi process model corpus
Author(s): Thaler, Tom
Dadashnia, Sharam
Sonntag, Andreas
Fettke, Peter
Loos, Peter
Other involved corporations: Institut für Witschaftsinformatik (IWi)
Language: English
Year of Publication: 2015
Free key words: Wirtschaftsinformatik
business process management
DDC notations: 330 Economics
Publikation type: Report
Abstract: In spite of the current research activities developing methods and techniques for business process model analysis, an adequate and homogeneous data basis is still missing. Referring to other research disciplines like computer linguistics or biology, a comprehensive, standardized and digitally available data corpus may lead to a better and con-sistent understanding of businesses in different domains as well as of the corresponding business information systems. Especially in the context of business process management, such a corpus is of high importance as it improves the creation of particular business process landscapes and the development of standardized evaluations. Against that background, this article presents the IWi Process Model Corpus extending the Reference Model Catalogue, which was developed by the IWi in 2006, with processable process model data. Thereby, its characteristics as well as correspondences between the contained sub corpora and between different single models are focused. In the current version, the corpus contains reference models, models from practice and models from controlled modelling environments and, in total, comprises 24 model collections with 4,426 process models and mappings for more than 137,000 model pairs.
Link to this record: urn:nbn:de:bsz:291-scidok-62672
Series name: Veröffentlichungen des Instituts für Wirtschaftsinformatik [ISSN 1438-5678]
Series volume: 199
Date of registration: 7-Oct-2015
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Wirtschaftswissenschaft
Former Department: bis SS 2016: Fachrichtung 1.3 - Betriebswirtschaftslehre
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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